Browsing Bioinformatics and Computational Biology Group by Author "Hardy, Nigel"

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Browsing Bioinformatics and Computational Biology Group by Author "Hardy, Nigel"

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  • Hardy, Nigel; Fuell, Helen (Kluwer Academic Publishers, 2002-01-31)
  • Fiehn, Oliver; Kristal, Bruce; Ommen, Ben van; Sumner, Lloyd W.; Sansone, Susanna-Assunta; Taylor, Chris F.; Hardy, Nigel; Kaddurah-Daouk, Rima (2006-06)
    Metabolite concentrations in cellular systems are very much dependent on the physiological, environmental, and genetic status of an organism and are regarded as the ultimate result of cellular regulation, resulting in the ...
  • Sansone, Susanna-Assunta; Rocca-Serra, Philippe; Brandizi, Marco; Brazma, Alvis; Field, Dawn; Fostel, Jennifer; Garrow, Andrew G.; Gilbert, Jack; Goodsaid, Federico; Hardy, Nigel; Jones, Phil; Lister, Allyson; Miller, Michael; Morrison, Norman; Rayner, Tim; Sklyar, Nataliya; Taylor, Chris F.; Tong, Weida; Warner, Guy; Wiemann, Stefan (2008-06-19)
    This article summarizes the motivation for, and the proceedings of, the first ISA-TAB workshop held December 6–8, 2007, at the EBI, Cambridge, UK. This exploratory workshop, organized by members of the Microarray Gene ...
  • Jones, Andrew R.; Miller, Michael; Aebersold, Ruedi; Apweiler, Rolf; Ball, Catherine A.; Brazma, Alvis; DeGreef, James; Hardy, Nigel; Hermjakob, Henning; Hubbard, Simon J.; Hussey, Peter; Igra, Mark; Jenkins, Helen; Julian Jr, Randall K.; Laursen, Kent; Oliver, Stephen G.; Paton, Norman W.; Sansone, Susanna-Assunta; Sarkans, Ugis; Stoeckert Jr, Christian J.; Taylor, Chris F.; Whetzel, Patricia L.; White, Joseph A.; Spellman, Paul; Pizarro, Angel (2007-10-05)
    The Functional Genomics Experiment data model (FuGE) has been developed to facilitate convergence of data standards for high-throughput, comprehensive analyses in biology. FuGE models the components of an experimental ...
  • Spasić, Irena; Dunn, Warwick B.; Velarde, Giles; Tseng, Andy; Jenkins, Helen; Hardy, Nigel; Oliver, Stephen G.; Kell, Douglas B. (2006-06-05)
    Background The genome sequencing projects have shown our limited knowledge regarding gene function, e.g. S. cerevisiae has 5–6,000 genes of which nearly 1,000 have an uncertain function. Their gross influence on the behaviour ...
  • Fiehn, Oliver; Robertson, Donald; Griffin, Julian L.; van der Werf, Mariet; Nikolau, Basil; Morrison, Norman; Sumner, Lloyd W.; Goodacre, Royston; Hardy, Nigel; Taylor, Chris F.; Fostel, Jennifer; Kristal, Bruce; Kaddurah-Daouk, Rima; Mendes, Pedro; van Ommen, B.; Lindon, John C.; Sansone, Susanna-Assunta (2007-09-01)
    In 2005, the Metabolomics Standards Initiative has been formed. An outline and general introduction is provided to inform about the history, structure, working plan and intentions of this initiative. Comments on any of the ...
  • Hall, Robert D.; Beale, Michael H.; Fiehn, Oliver; Hardy, Nigel; Sumner, Lloyd W.; Bino, Raoul J. (2002-07)
    After the establishment of technologies for high-throughput DNA sequencing (genomics), gene expression analysis (transcriptomics), and protein analysis (proteomics), the remaining functional genomics challenge is that of ...
  • Hall, Robert D.; Hardy, Nigel W. (Humana Press- Springer, 2012-02-17)
    The technologies being developed for the large-scale, essentially unbiased analysis of the small molecules present in organic extracts made from plant materials are greatly changing our way of thinking about what is possible ...
  • Sumner, Lloyd W.; Amberg, Alexander; Barrett, Dave; Beale, Michael H.; Beger, Richard; Daykin, Clare; Fan, Teresa; Fiehn, Oliver; Goodacre, Royston; Griffin, Julian L.; Hankemeier, Thomas; Hardy, Nigel; Harnly, James; Higashi, Richard; Kopka, Joachim; Lane, Andrew N.; Lindon, John C.; Marriott, Philip; Nicholls, Andrew W.; Reily, Michael D.; Thaden, John J.; Viant, Mark R. (2007-09-01)
    There is a general consensus that supports the need for standardized reporting of metadata or information describing large-scale metabolomics and other functional genomics data sets. Reporting of standard metadata provides ...
  • Rubtsov, Denis V.; Jenkins, Helen; Ludwig, Christian; Easton, John; Viant, Mark R.; Günther, Ulrich; Griffin, Julian L.; Hardy, Nigel (2007-09-01)
    The amount of data generated by NMR-based metabolomic experiments is increasing rapidly. Furthermore, diverse techniques increase the need for informative and comprehensive meta-data. These factors present a challenge in ...
  • Hardy, Nigel; Jenkins, Helen (Springer, 2007-10-26)
    Metabolomic studies generate large quantities of data. Metabolomics data sets have complex structure and will typically be subjected to a variety of processing and analysis techniques. The data sets are expensive to collect ...
  • Hardy, Nigel; Taylor, Chris F. (2007-09-01)
    This briefing lays out the initial objectives and intent of the Data Exchange Working Group of the Metabolomics Standards Initiative (MSI), which operates under the aegis of the Metabolomics Society. The MSI has now reached ...
  • Lindon, John C.; Nicholson, Jeremy; Holmes, Elaine; Keun, Hector; Craig, Andrew; Pearce, Jake; Bruce, Stephen; Hardy, Nigel; Sansone, Susanna-Assunta; Antti, Henrick; Jonsson, Par; Daykin, Clare; Navarange, Mahendra; Beger, Richard; Verheij, Elwin R.; Amberg, Alexander; Baunsgaard, Dorrit; Cantor, Glenn; Lehman-McKeeman, Lois; Earll, Mark; Wold, Svante; Johansson, Erik; Haselden, John; Kramer, Kerstin; Thomas, Craig; Lindberg, Johann; Schuppe-Koistinen, Ina; Wilson, Ian; Reily, Michael; Robertson, Donald G.; Senn, Hans; Krotzky, Arno; Kochhar, Sunil; Powell, Jonathan; van der Ouderaa, Frans; Plumb, Robert; Schaefer, Hartmut; Spraul, Manfred (2005)
    The Standard Metabolic Reporting Structures (SMRS) working group outlines its vision for an open,community-driven specification for the standardization and reporting of metabolic studies.
  • Jenkins, Helen; Johnson, Helen E.; Kular, Baldeep; Wang, Trevor; Hardy, Nigel (2005-05-11)
    Over recent years, a number of initiatives have proposed standard reporting guidelines for functional genomics experiments. Associated with these are data models that may be used as the basis of the design of software tools ...

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